Evidence map›Paper›PMID 37097408›Full record

ReviewCurrent diabetes reports2023

Using Mixed Methods Research in Children with Type 1 Diabetes: a Methodological Review.

Sara L Davis, Sarah S Jaser, Nataliya V Ivankova, Trey Lemley, Marti Rice

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current diabetes reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sara L DavisMaternal Child Health Nursing, University of South Alabama, 5721 USA Dr N, Mobile, AL, 36688, USA. saradavis@southalabama.edu.ORCID 0000-0002-3753-6357
Sarah S JaserDivision of Pediatric Endocrinology & Diabetes, Vanderbilt University Medical Center, Nashville, TN, USA.
Nataliya V IvankovaSchool of Health Professions, University of Alabama at Birmingham, Birmingham, AL, USA.
Trey LemleyBiomedical Library, University of South Alabama, Mobile, AL, USA.
Marti RiceSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
NCATS NIH HHS KL2 TR003097
6 · The paper itself

Abstract

purpose of reviewMany factors influence disease management and glycemic levels in children with type 1 diabetes (T1D). However, these concepts are hard to examine in children using only a qualitative or quantitative research paradigm. Mixed methods research (MMR) offers creative and unique ways to study complex research questions in children and their families. RECENT

findingsA focused, methodological literature review revealed 20 empirical mixed methods research (MMR) studies that included children with T1D and/or their parents/caregivers. These studies were examined and synthesized to elicit themes and trends in MMR. Main themes that emerged included disease management, evaluation of interventions, and support. There were multiple inconsistencies between studies when reporting MMR definitions, rationales, and design. Limited studies use MMR approaches to examine concepts related to children with T1D. Findings from future MMR studies, especially ones that use child-report, may illuminate ways to improve disease management and lead to better glycemic levels and health outcomes.

Indexed as

Diabetes Mellitus, Type 1CaregiversHumansParentsChildrenDiabetes managementMixed methods researchSocio-ecological frameworkType 1 diabetes

Identifiers

PMID37097408
PMCPMC10651325

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.